Journal & Article

Software Engineering

I/F
# Journal I/F

IEEE Transactions on Services Computing

A Fine-Grained Regularization Scheme for Non-negative Latent Factorization of High-Dimensional and Incomplete Tensors A Multi-Agent DRL-Based Computation Offloading and Resource Allocation Method With Attention Mechanism in MEC-Enabled IIoT A Novel Knowledge Search Structure for Android Malware Detection A Privacy-Preserving Computation Framework for Multisource Label Propagation Services A Technique for Faster Convergence of Game-Theoretic Approaches for Edge Computing Resource Allocation Blockchain-Enabled HeartCare Framework for Cardiovascular Disease Diagnosis in Devices With Constrained Resources CFEC: An Ultra-Low Latency Microservices-Based In-Network Computing Framework for Information-Centric IoVs Cloned Identity Detection in Social-Sensor Clouds Based on Incomplete Profiles Cost-Aware Dispersed Resource Probing and Offloading at the Edge: A User-Centric Online Layered Learning Approach Deep Reinforcement Learning With Entropy and Attention Mechanism for D2D-Assisted Task Offloading in Edge Computing Deep Reinforcement Learning-Based Multi-Layer Cascaded Resilient Recovery for Cyber-Physical Systems DeFiGuard: A Price Manipulation Detection Service in DeFi Using Graph Neural Networks Delay-Prioritized and Reliable Task Scheduling With Long-Term Load Balancing in Computing Power Networks Dependency-Aware Task Offloading Based on Application Hit Ratio Dynamic Adaptive Federated Learning on Local Long-Tailed Data Effective Graph Modeling and Contrastive Learning for Time-Aware QoS Prediction Efficient Public-Key Searchable Encryption Scheme From PSI With Scalable Proxy Servers Egret: Reinforcement Mechanism for Sequential Computation Offloading in Edge Computing Elastic Scaling of Stateful Operators Over Fluctuating Data Streams Exploiting Stragglers in Distributed Computing Systems With Task Grouping FedOrbit: Energy Efficient Federated Learning for Orbital Edge Computing Using Block Minifloat Arithmetic FedUP: Bridging Fairness and Efficiency in Cross-Silo Federated Learning FREB: Participant Selection in Federated Learning With Reputation Evaluation and Blockchain GDI: A Novel IoT Device Identification Framework via Graph Neural Network-Based Tensor Completion GraphIoT: Lightweight IoT Device Detection Based on Graph Classifiers and Incremental Learning Holistic Root Cause Analysis for Failures in Cloud-Native Systems Through Observability Data In-Network Computing Empowered Mobile Edge Offloading Architecture for Internet of Things Light Heterogeneous Hypergraph Contrastive Learning Based Service Recommendation for Mashup Creation Lighter Sequential Recommendation Algorithm With Time Interval Awareness Augmentation Link Traffic-Delay Mapping Model Learning Based on Multi-Class Samples in Software-Defined Networks MADRL-Based Order Dispatching in MoD Systems With Bipartite Graph Splitting Multi-Objective DAG Task Offloading in MEC Environment Based on Federated DQN With Automated Hyperparameter Optimization No More Data Silos: Unified Microservice Failure Diagnosis With Temporal Knowledge Graph Optimized Edge Node Allocation Considering User Delay Tolerance for Cost Reduction Orchestration of Services in Smart Manufacturing Through Automated Synthesis Proportional Fairness-Aware Task Scheduling in Space-Air-Ground Integrated Networks QSFL: Two-Level Communication-Efficient Federated Learning on Mobile Edge Devices RDRM: Real-Time Dynamic Replica Management With Joint Optimization for Edge Computing RESTLess: Enhancing State-of-the-Art REST API Fuzzing With LLMs in Cloud Service Computing RPPS-TDC: Reputation and Privacy-Preserving Services Based Truth Data Collection for Blockchain-Enabled Crowdsensing Scheduling Constrained Cloud Workflow Tasks via Evolutionary Multitasking Optimization With Adaptive Knowledge Transfer Service Workflow Activity Input/Output Parameters Recommendation Method by Combining Transformer and Weighted HITS Serving DNN Inference With Fine-Grained Spatio-Temporal Sharing of GPU Servers SPACE4AI-D: A Design-Time Tool for AI Applications Resource Selection in Computing Continua Tango: Harmonious Optimization for Mixed Services in Kubernetes-Based Edge Clouds Towards Auditable and Privacy-Preserving Online Medical Diagnosis Service Over Cloud Toward Efficient Satellite Computing Through Adaptive Compression Trajectory Privacy Protection Method Based on Differential Privacy in Crowdsensing Winning at the Starting Line: Unreliable Data Replica Selection for Edge Data Integrity Verification A Survey on Security Analysis Methods of Smart Contracts